NetFACS (version 0.5.0)

netfacs_extract: Extract results from a netfacs object

Description

Extract results from a netfacs object.

Usage

netfacs_extract(
  netfacs.data,
  combination.size = NULL,
  significance = 1,
  min.count = 0,
  min.prob = 0
)
netfacs.extract(
  netfacs.data,
  combination.size = NULL,
  significance = 1,
  min.count = 0,
  min.prob = 0
)

Value

Function returns a tibble data.frame that contains the results of the netfacs object. By default, returns all results for all observed combinations, but can optionally pre-filter results.

Arguments

netfacs.data

An object of class netfacs.

combination.size

Numeric, denoting the combination size(s) that should be extracted. If NULL (default), all combination sizes are returned.

significance

Numeric value between 0 and 1, determining the p-value below which combinations are considered to be dissimilar enough from the null distribution.

min.count

Numeric, denoting the minimum number of times an element combination occurred.

min.prob

Numeric value between 0 and 1, denoting the minimum probability an element combination occurred to be displayed.

Examples

### how do angry facial expressions differ from non-angry ones?
data(emotions_set)
angry.face <- netfacs(
  data = emotions_set[[1]],
  condition = emotions_set[[2]]$emotion,
  test.condition = "anger",
  ran.trials = 10,
  combination.size = 2
)

netfacs_extract(angry.face)